smk_net <- set_agd_arm(smoking,
study = studyn,
trt = trtc,
r = r,
n = n,
trt_ref = "No intervention")
# Only test gradients, no sampling
smk_fit_RE <- nma(smk_net,
trt_effects = "random",
prior_intercept = normal(scale = 100),
prior_trt = normal(scale = 100),
prior_het = normal(scale = 5),
test_grad = TRUE)
test_that("Error if not ML-NMR model", {
expect_error(plot_integration_error(smk_fit_RE),
"Expecting a `stan_mlnmr` object, created by fitting a ML-NMR model with numerical integration")
})
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